Connected by a thread: Ukrainian embroidery and macro-cultural identity on COVID-19 face masks in Ukraine and Ukrainian diaspora in Canada
Bibliographic record
Abstract
This thesis examines the ways in which Ukrainians, have utilized material culture transnationally in order to create a macro-cultural identity, particularly through the revitalization and resurgence of traditional Ukrainian embroidery. The role of diaspora in the preservation of different stages of cultural identity, as well as the ways in which traditions and material culture are adapted to suit the new worlds in which these concepts find themselves, contribute to the prolific nature of Ukrainian embroidery as a cultural identifier. Comparing the resurgence of embroidery in Ukraine and the diaspora within Canada, this thesis examines the roles of traditional patterns and motifs and their modern manipulations in an open/performative display of culture. Through a case study of Ukrainian embroidered face masks during the COVID-19 pandemic, the research examines the different values of and sentiments towards the open/performative and private/personal functions of embroidery and material culture. By proving that the open/performative function is favored in modern uses of traditional embroidery to illustrate and exemplify cultural affinity, this thesis asserts that Ukrainian embroidery is being used to identify and define a macro-cultural identity transnationally.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".